Running mean of a vectorEike Luedeling
(redirected from Mean vector)Also found in: Thesaurus, Medical, Legal, Financial, Encyclopedia. mean intend: What do you mean?; signify, indicate, imply; malicious: a mean bully Not to be confused with: mien –a person’s look or bearing: a woman of regal mien Abused, Confused, & ...
mean()R语言中的函数用于计算作为参数传递给它的数字向量元素的算术平均值。 用法: mean(x, na.rm) 参数:x:数字向量名称:忽略NA 值的布尔值 范例1: # R program to calculate # Arithmetic mean of a vector # Creating a numeric vector x1 <- c(1, 2, 3, 4, 5, 6) x2 <-c(1.2, 2.3, ...
clipMap[l]) { continue; } vector<double> r(winBandNum, 0); for(size_t pi = 0; pi < MVC[l].size(); pi++) { for(int bi = 0; bi < winBandNum; bi++) { r[bi] = r[bi] + MVC[l][pi] * diff[pi * winBandNum + bi]; } } for(int bi = 0; bi < winBandNum; ...
If A is a matrix, then mean(A) returns a row vector containing the mean of each column. If A is a multidimensional array, then mean(A) operates along the first array dimension whose size does not equal 1, treating the elements as vectors. The size of M in this dimension becomes 1,...
I need to calculate a mean value of a velocity vector. The vector contains a damaged cells which appears as "0" inside the vector. How do I calculate a mean value of a vector and ignore from the "0" when appears inside the vectors?
This paper considers the problem of detecting a sample vector from a signal random process which is imbedded in additive Gaussian noise. The probability di... Charles R. Baker - 《Communication Technology IEEE Transactions on》 被引量: 103发表: 1967年 A subgaussian embedding theorem Usingthe con...
Sign in to download full-size image Fig. 6.4. A comparison of downside ratios among the MMV, SPM, and PUM strategies at different time horizon T and expected return rate R. The upper, middle, and lower surfaces stand for downside ratios of the SPM, MMV, and PUM strategies, respectively....
Average or mean value of array collapse all in page Description M = mean(A)returns themeanof the elements ofAalong the first array dimension whose size does not equal 1. IfAis a vector, thenmean(A)returns the mean of the elements. ...
A very similar problem arises in estimation of a nonnegative vector parameter in Gaussian white noise when it is known also that most [i.e., (1 - ε)] components are zero. We provide a partial asymptotic expansion of the minimax risk as ε→ 0. While the conjecture seems unlikely to ...